Multi-structure collaborative optimization of porous transport layer for unitized regenerative proton exchange membrane fuel cell based on Taguchi experimental design combined with grey relational analysis

International Journal of Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 238, P. 126471 - 126471

Published: Nov. 23, 2024

Language: Английский

Investigation on evolution law of water flow deterioration caused by sedimentation in sewer pipelines: An approach based on fluid–structure coupling

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(12)

Published: Dec. 1, 2024

With the increase in length and age of urban sewer pipeline construction, black smelly water pollution caused by siltation deposition has increased pipelines, affecting their flow capacity increasing risk flooding. This presents a significant challenge to environment, human life health. Hence, investigate potential approaches for controlling deposition, governing equations dynamic simulation model fluid–structure coupling silted are constructed combining theory fluid dynamics analysis, method unit volume computational (CFD), discrete element (DEM). Then, predict sedimentation law particles with high accuracy, an adaptive punishment mechanism (APM) intelligent prediction particle settlement sediment hyperparameter optimization is adopted based on probability function (PSF), non-dominated sorting genetic algorithm (NSGA) multiscale bidirectional long short-term memory neural network (MBLSTM). By self-punishment PSF-NSGA-MBLSTM CFD-DEM, high-resolution numerical CFD-DEM-APM hydraulic transport pipelines proposed describe particle-phase fluid-phase state transfer process. Experimental results show that accuracy maintained within 5%–11% range, which far better than other algorithms. study provides guidance critical conditions desilting pipe inlet velocity/flow control scour environment improvement restriction.

Language: Английский

Computational analysis of hydrogen bubble formation and dynamics in electrolytic systems using COMSOL

STUDIES IN ENGINEERING AND EXACT SCIENCES, Journal Year: 2024, Volume and Issue: 5(2), P. e11379 - e11379

Published: Dec. 2, 2024

This study explores the numerical modeling of hydrogen bubble dynamics in electrolytic processes, utilizing COMSOL Multiphysics software. The focus is on development precise computational models to simulate processes formation, growth, and movement water electrolysis systems, which are crucial for optimizing production. Using 2D axisymmetric modeling, research applies several interface-capturing techniques, including phase field, level set, moving mesh methods, accurately capture behavior bubbles various operational conditions. By analyzing these dynamics, aims improve understanding bubble-related phenomena electrolysis, such as formation patterns, size, terminal velocities rising bubbles. Additionally, effects density differences between examined assess their impact overall efficiency electrolysis. results indicate that method offers best performance providing insights can contribute optimization efficient

Language: Английский